================================================================================
RAW EXPERIMENTAL DATA (tpnw_raw.csv)
================================================================================

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StartDate
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Qualtrics embedded data field (more information is available on Qualtrics' 
website at https://www.qualtrics.com/support/survey-platform/
data-and-analysis-module/data/download-data/understanding-your-dataset/)

Date and time that respondent started the survey

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EndDate
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Qualtrics embedded data field (more information is available on Qualtrics' 
website at https://www.qualtrics.com/support/survey-platform/
data-and-analysis-module/data/download-data/understanding-your-dataset/)

Date and time that respondent finished the survey

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Status
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Qualtrics embedded data field (more information is available on Qualtrics' 
website at https://www.qualtrics.com/support/survey-platform/
data-and-analysis-module/data/download-data/understanding-your-dataset/)

Indicator of the type of response collected.

0  - IP Address: A normal response
1  - Survey Preview: A preview response
2  - Survey Test: A test response
4  - Imported: An imported response
8  - Spam: A possible spam response
9  - Preview Spam: A possible spam response submitted through the preview link
12 - Imported Spam: A possible spam response that was imported
16 - Offline: A Qualtrics Offline App response
17 - Offline Preview: Previews submitted through the Qualtrics Offline App. This
	 feature is deprecated in latest versions of the app

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Progress
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Qualtrics embedded data field (more information is available on Qualtrics' 
website at https://www.qualtrics.com/support/survey-platform/
data-and-analysis-module/data/download-data/understanding-your-dataset/)

Indicates the progress a respondent made before finishing the survey.

100 - Respondent completed the survey or was screened out

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Duration..in.seconds.
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Qualtrics embedded data field (more information is available on Qualtrics' 
website at https://www.qualtrics.com/support/survey-platform/
data-and-analysis-module/data/download-data/understanding-your-dataset/)

Number of seconds it took a respondent to complete the survey.

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Finished
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Qualtrics embedded data field (more information is available on Qualtrics' 
website at https://www.qualtrics.com/support/survey-platform/
data-and-analysis-module/data/download-data/understanding-your-dataset/)

Indicates whether a respondent finished the survey.

1 - Respondent finished the survey or was screened out

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RecordedDate
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Qualtrics embedded data field (more information is available on Qualtrics' 
website at https://www.qualtrics.com/support/survey-platform/
data-and-analysis-module/data/download-data/understanding-your-dataset/)

Date that respondent's survey was recorded in Qualtrics.

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ResponseId
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Qualtrics embedded data field (more information is available on Qualtrics' 
website at https://www.qualtrics.com/support/survey-platform/
data-and-analysis-module/data/download-data/understanding-your-dataset/)

Character variable indicating unique respondent ID.

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DistributionChannel
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Qualtrics embedded data field (more information is available on Qualtrics' 
website at https://www.qualtrics.com/support/survey-platform/
data-and-analysis-module/data/download-data/understanding-your-dataset/)

Character variable indicating method of survey distribution.

"anonymous" - Survey was distributed without collecting respondent data

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UserLanguage
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Qualtrics embedded data field (more information is available on Qualtrics' 
website at https://www.qualtrics.com/support/survey-platform/
data-and-analysis-module/data/download-data/understanding-your-dataset/)

Character variable indicating respondent's language code.

"EN" - Respondent took the survey in English

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psid
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Dynata embedded data field

Character variable uniquely identifying a respondent and specific project 
(project specific ID).

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pid
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Dynata embedded data field

Numeric variable uniquely identifying a panelist (panelist ID).

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consent
--------------------------------------------------------------------------------

Custom embedded data field

Indicator of whether a respondent consented to participate in the survey.

0 - Respondent did not consent
1 - Respondent consented

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new_income_q
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Custom embedded data field

Indicator of usage of new income demographic question format.

"" - Old income question
1  - new income question

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confirmation_code
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Custom embedded data field

Numeric code provided to each respondent for response recording after completing
the survey.

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treatment
--------------------------------------------------------------------------------

Custom embedded data field

Numeric variable indicating treatment arm to which a respondent was assigned

0 - Control
1 - Group Cue
2 - Security Cue
3 - Norms Cue
4 - Institutions Cue

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birthyr
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Demographic question

Respondent's birth year (numeric entry only).

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gender
--------------------------------------------------------------------------------

Demographic question

Respondent's self-reported gender.

0  - Male
1  - Female
95 - Other

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gender_95_TEXT
--------------------------------------------------------------------------------

Demographic question

Respondent's self-reported gender (if Other; text entry).

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state
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Demographic question

Respondent's state of residence (recoded to character strings in cleaned
experimental data).

1  - Alabama
2  - Alaska
4  - Arizona
5  - Arkansas
6  - California
8  - Colorado
9  - Connecticut
10 - Delaware
11 - District of Columbia
12 - Florida
13 - Georgia
15 - Hawaii
16 - Idaho
17 - Illinois
18 - Indiana
19 - Iowa
20 - Kansas
21 - Kentucky
22 - Louisiana
23 - Maine
24 - Maryland
25 - Massachusetts
26 - Michigan
27 - Minnesota
28 - Mississippi
29 - Missouri
30 - Montana
31 - Nebraska
32 - Nevada
33 - New Hampshire
34 - New Jersey
35 - New Mexico
36 - New York
37 - North Carolina
38 - North Dakota
39 - Ohio
40 - Oklahoma
41 - Oregon
42 - Pennsylvania
44 - Rhode Island
45 - South Carolina
46 - South Dakota
47 - Tennessee
48 - Texas
49 - Utah
50 - Vermont
51 - Virginia
53 - Washington
54 - West Virginia
55 - Wisconsin
56 - Wyoming

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income
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Demographic question

Respondent's self-reported, pre-tax family income.

1  - Less than $15,000
2  - $15,000 to $24,999
3  - $25,000 to $49,999
4  - $50,000 to $74,999
5  - $75,000 to $99,999
6  - $100,000 to $149,999
7  - $150,000 to $199,999
8  - $200,000 to $249,999
9  - $250,000 to $499,999
10 - $500,000 to $999,999
11 - More than $1 million
95 - Prefer not to say (recoded to NA in cleaned experimental data)

Note: income is coalesced with income from tpnw_orig_income.csv, described
below.

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educ
--------------------------------------------------------------------------------

Demographic question

Respondent's self-reported level of education.


1  - Did not graduate from high school
2  - High school graduate or equivalent (for example: GED)
3  - Some college, but no degree (yet)
4  - 2-year college degree
5  - 4-year college degree
6  - Postgraduate degree (MA, MBA, MD, JD, PhD, EdD, etc.)
95 - Other (recoded to NA in cleaned experimental data)

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educ_95_TEXT
--------------------------------------------------------------------------------

Demographic question

Respondent's self-reported education level (if Other; text entry).

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ideo
--------------------------------------------------------------------------------

Demographic question

Respondent's self-reported, five-point political ideology.


-2 - Very liberal
-1 - Liberal
0  - Moderate; middle of the road
1  - Conservative
2  - Very conservative
3  - Haven't thought much about this (recoded to NA in cleaned experimental data)

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pid3
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Demographic question

Three-point partisan identification.

-1 - Democrat
0  - Independent
1  - Republican

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pid_forc
--------------------------------------------------------------------------------

Demographic question

Follow-up question to pid3; displayed only if pid3 skipped or if respondent 
replied "Independent" to pid3 (coalesced with pid3 in cleaned experimental 
data).

-1 - Closer to Democratic
0  - Neither
1  - Closer to Republican

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join_tpnw
--------------------------------------------------------------------------------

Outcome question

Respondent's support for joining TPNW.

1 - Yes
2 - No (recoded to 0 in cleaned experimental data)

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tpnw_atts_danger
--------------------------------------------------------------------------------

Outcome question

Nuclear weapons are dangerous and present a threat to the world (reverse-coded
in cleaned experimental data).						

2  - Strongly Agree
1  - Agree
-1 - Disagree
-2 - Strongly disagree

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tpnw_atts_peace
--------------------------------------------------------------------------------

Outcome question

Nuclear weapons contribute to peace by preventing conflict between countries.						

2  - Strongly Agree
1  - Agree
-1 - Disagree
-2 - Strongly disagree

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tpnw_atts_safe
--------------------------------------------------------------------------------

Outcome question

Nuclear weapons help to keep my country safe.						

2  - Strongly Agree
1  - Agree
-1 - Disagree
-2 - Strongly disagree

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tpnw_atts_use_unaccept
--------------------------------------------------------------------------------

Outcome question

It is unacceptable to use nuclear weapons in any situation (reverse-coded
in cleaned experimental data).												

2  - Strongly Agree
1  - Agree
-1 - Disagree
-2 - Strongly disagree

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tpnw_atts_always_cheat
--------------------------------------------------------------------------------

Outcome question

Some countries will always cheat and disobey nuclear treaties (reverse-coded
in cleaned experimental data).						

2  - Strongly Agree
1  - Agree
-1 - Disagree
-2 - Strongly disagree

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tpnw_atts_cannot_elim
--------------------------------------------------------------------------------

Outcome question

Now that nuclear weapons exist, they can never be eliminated (reverse-coded
in cleaned experimental data).	

2  - Strongly Agree
1  - Agree
-1 - Disagree
-2 - Strongly disagree

--------------------------------------------------------------------------------
tpnw_atts_slow_reduc
--------------------------------------------------------------------------------

Outcome question

Reducing the number of nuclear weapons over time is safer than immediate nuclear 
disarmament.						

2  - Strongly Agree
1  - Agree
-1 - Disagree
-2 - Strongly disagree

================================================================================
YOUGOV DATA (tpnw_aware.csv)
================================================================================

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caseid
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YouGov embedded data field

Numeric variable indicating case ID.

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starttime
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YouGov embedded data field

Date that respondent started the survey

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endtime
--------------------------------------------------------------------------------

YouGov embedded data field

Date that respondent finished the survey

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weight
--------------------------------------------------------------------------------

YouGov weighting variable

Numeric variable containing post-stratification weights.

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birthyr
--------------------------------------------------------------------------------

YouGov demographic question

Respondent's birth year (numeric).

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gender
--------------------------------------------------------------------------------

YouGov demographic question

Respondent's self-reported gender.

1 - Male
2 - Female

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race
--------------------------------------------------------------------------------

YouGov demographic question

Respondent's self-reported race.

1 - White
2 - Black
3 - Hispanic
4 - Asian
5 - Native American
6 - Mixed
7 - Other
8 - Middle Eastern

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educ
--------------------------------------------------------------------------------

YouGov demographic question

Respondent's self-reported education level.

1 - No high school
2 - High school graduate
3 - Some college
4 - 2-year college degree
5 - 4-year college degree
6 - Post-graduate degree

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marstat
--------------------------------------------------------------------------------

YouGov demographic question

Respondent's self-reported marital status.

1 - Married
2 - Separated
3 - Divorced
4 - Widowed
5 - Never married
6 - Domestic / civil partnership

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employ
--------------------------------------------------------------------------------

YouGov demographic question

Respondent's self-reported employment status.

1 - Full-time
2 - Part-time
3 - Temporarily laid off
4 - Unemployed
5 - Retired
6 - Permanently disabled
7 - Homemaker
8 - Student
9 - Other

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faminc_new
--------------------------------------------------------------------------------

YouGov demographic question

Respondent's self-reported family income.

1  - Less than $10,000
2  - $10,000 - $19,999
3  - $20,000 - $29,999
4  - $30,000 - $39,999
5  - $40,000 - $49,999
6  - $50,000 - $59,999
7  - $60,000 - $69,999
8  - $70,000 - $79,999
9  - $80,000 - $99,999
10 - $100,000 - $119,999
11 - $120,000 - $149,999
12 - $150,000 - $199,999
13 - $200,000 - $249,999
14 - $250,000 - $349,999
15 - $350,000 - $499,999
16 - $500,000 or more
97 - Prefer not to say

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pid3
--------------------------------------------------------------------------------

YouGov demographic question

Respondent's self-reported three-point partisan identification.

1 - Democrat
2 - Republican
3 - Independent
4 - Other
5 - Not sure

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pid7
--------------------------------------------------------------------------------

YouGov demographic question

Respondent's self-reported seven-point partisan identification.

1 - Strong Democrat
2 - Not very strong Democrat
3 - Lean Democrat
4 - Independent
5 - Lean Republican
6 - Not very strong Republican
7 - Strong Republican
8 - Not sure
9 - Don't know

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presvote2016post
--------------------------------------------------------------------------------

YouGov demographic question

Respondent's self-reported 2016 Presidential Election vote choice.

1 - Hillary Clinton
2 - Donald Trump
3 - Gary Johnson
4 - Jill Stein
5 - Evan McMullin
6 - Other
7 - Did not vote for President

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inputstate
--------------------------------------------------------------------------------

YouGov demographic question

Respondent's state of residence.

1  - Alabama
2  - Alaska
4  - Arizona
5  - Arkansas
6  - California
8  - Colorado
9  - Connecticut
10 - Delaware
11 - District of Columbia
12 - Florida
13 - Georgia
15 - Hawaii
16 - Idaho
17 - Illinois
18 - Indiana
19 - Iowa
20 - Kansas
21 - Kentucky
22 - Louisiana
23 - Maine
24 - Maryland
25 - Massachusetts
26 - Michigan
27 - Minnesota
28 - Mississippi
29 - Missouri
30 - Montana
31 - Nebraska
32 - Nevada
33 - New Hampshire
34 - New Jersey
35 - New Mexico
36 - New York
37 - North Carolina
38 - North Dakota
39 - Ohio
40 - Oklahoma
41 - Oregon
42 - Pennsylvania
44 - Rhode Island
45 - South Carolina
46 - South Dakota
47 - Tennessee
48 - Texas
49 - Utah
50 - Vermont
51 - Virginia
53 - Washington
54 - West Virginia
55 - Wisconsin
56 - Wyoming

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votereg
--------------------------------------------------------------------------------

YouGov demographic question

Respondent's self-reported voter registration status.

1 - Yes
2 - No
3 - Don't know

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ideo5
--------------------------------------------------------------------------------

YouGov demographic question

Respondent's self-reported, five-point political ideology.

1 - Very liberal
2 - Liberal
3 - Moderate
4 - Conservative
5 - Very conservative
6 - Not sure

--------------------------------------------------------------------------------
newsint
--------------------------------------------------------------------------------

YouGov demographic question

Respondent's self-reported political interest.

1 - Most of the time
2 - Some of the time
3 - Only now and then
4 - Hardly at all
7 - Don't know

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religpew
--------------------------------------------------------------------------------

YouGov demographic question

Pew religion

1  - Protestant
2  - Roman Catholic
3  - Mormon
4  - Eastern or Greek Orthodox
5  - Jewish
6  - Muslim
7  - Buddhist
8  - Hindu
9  - Atheist
10 - Agnostic
11 - Nothing in particular
12 - Something else

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awareness
--------------------------------------------------------------------------------

Outcome question

Has respondent heard of international treaty to ban nuclear weapons

1 - Yes, and I support it 
2 - Yes, and I oppose it
3 - No, but it sounds like I would support it
4 - No, but it sounds like I would oppose it
8 - Skipped

================================================================================
ORIGINAL INCOME DATA (tpnw_orig_income.csv)
================================================================================

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income
--------------------------------------------------------------------------------

Demographic question

Numeric text-entry variable indicating respondent's self-reported income; 
converted to categorical variable to match with income from tpnw_raw.csv,
described above.

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consent
--------------------------------------------------------------------------------

Custom embedded data field

Indicator of whether a respondent consented to participate in the survey.

0 - Respondent did not consent
1 - Respondent consented

--------------------------------------------------------------------------------
pid
--------------------------------------------------------------------------------

Dynata embedded data field

Numeric variable uniquely identifying a panelist (panelist ID).

================================================================================
CLEANED EXPERIMENTAL DATA (tpnw_data.csv)

Only newly instantiated variables are described below; any recodings of 
variables described above are documented in the replication code cleaning script
(hbg_cleaning.R) available in ../scripts
================================================================================

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female
--------------------------------------------------------------------------------

Demographic question

Indicator of whether respondent self-reported female gender.

0  - No
1  - Yes
NA - Other/skipped

--------------------------------------------------------------------------------
age
--------------------------------------------------------------------------------

Demographic question

Numeric variable indicating respondent's age, subtracting self-reported birth
year from 2019, the year in which the survey was conducted (2019 - birthyr).

--------------------------------------------------------------------------------
northeast
--------------------------------------------------------------------------------

Demographic question

Indicator of whether respondent's state is in the Northeast region defined by
the U.S. Census Bureau.

0  - No
1  - Yes
NA - Skipped

--------------------------------------------------------------------------------
midwest
--------------------------------------------------------------------------------

Demographic question

Indicator of whether respondent's state is in the Midwest region defined by the 
U.S. Census Bureau.

0  - No
1  - Yes
NA - Skipped

--------------------------------------------------------------------------------
south
--------------------------------------------------------------------------------

Demographic question

Indicator of whether respondent's state is in the South region defined by the 
U.S. Census Bureau.

0  - No
1  - Yes
NA - Skipped

--------------------------------------------------------------------------------
west
--------------------------------------------------------------------------------

Demographic question

Indicator of whether respondent's state is in the West region defined by the 
U.S. Census Bureau.

0  - No
1  - Yes
NA - Skipped

--------------------------------------------------------------------------------
caseid
--------------------------------------------------------------------------------

Weighting variable

Unique identifier for each respondent for the purposes of computing raked 
post-stratification weights with anesrake.

--------------------------------------------------------------------------------
age_wtng
--------------------------------------------------------------------------------

Weighting variable

Coarsened and factorized age variable for the purposes of computing raked 
post-stratification weights with anesrake.

age1824 - Respondent is in the 18-24-year-old age group
age2534 - Respondent is in the 25-34-year-old age group
age3544 - Respondent is in the 35-44-year-old age group    
age4554 - Respondent is in the 45-54-year-old age group
age5564 - Respondent is in the 55-64-year-old age group
age6599 - Respondent is in the 65-99-year-old age group

--------------------------------------------------------------------------------
female_wtng
--------------------------------------------------------------------------------

Weighting variable

Factorized female variable for the purposes of computing raked 
post-stratification weights with anesrake.

female - Respondent is female
na     - Skipped/Other
male   - Respondent is male

--------------------------------------------------------------------------------
northeast_wtng
--------------------------------------------------------------------------------

Weighting variable

Factorized northeast variable for the purposes of computing raked 
post-stratification weights with anesrake.

northeast - Respondent is from the Northeast
other     - Respondent is from another region

--------------------------------------------------------------------------------
midwest_wtng
--------------------------------------------------------------------------------

Weighting variable

Factorized midwest variable for the purposes of computing raked 
post-stratification weights with anesrake.

midwest - Respondent is from the Midwest
other   - Respondent is from another region

--------------------------------------------------------------------------------
south_wtng
--------------------------------------------------------------------------------

Weighting variable

Factorized south variable for the purposes of computing raked 
post-stratification weights with anesrake.

south - Respondent is from the South
other - Respondent is from another region

--------------------------------------------------------------------------------
west_wtng
--------------------------------------------------------------------------------

Weighting variable

Factorized west variable for the purposes of computing raked 
post-stratification weights with anesrake.

west  - Respondent is from the West
other - Respondent is from another region

--------------------------------------------------------------------------------
anesrake_weight
--------------------------------------------------------------------------------

Custom weighting variable

Raked post-stratification weights computed with anesrake.